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Found 18 Skills
Comprehensive research assistant that synthesizes information from multiple sources with citations. Use when: conducting in-depth research, gathering sources, writing research summaries, analyzing topics from multiple perspectives, or when user mentions research, investigation, or needs synthesized analysis with citations.
Aggregates and summarizes recent updates from a predefined list of RSS feeds. Use when the user asks for "recent updates", "what's new", or "RSS updates" within a specific timeframe.
Agentic RSS digest using the feed CLI. Fetch, triage, and summarize RSS feeds to surface high-signal posts. Use when: (1) reading RSS feeds or catching up on news, (2) user asks for a digest, roundup, or summary of recent posts, (3) user asks what's new or interesting today, (4) user mentions feed, RSS, or blogs.
This skill should be used when the user asks to "콘텐츠 정리", "아티클 요약", "PDF 학습", "영상 정리", "트윗 정리", "digest", "summarize", "정리해줘", or provides a YouTube URL, X/Twitter URL (x.com, twitter.com), webpage URL, or PDF file for analysis. Supports YouTube (transcript), X/Twitter (via fetch-tweet skill), webpage (full content via browser), and PDF (text + image per page). Generates Quiz-First learning with 9 questions across 3 difficulty levels.
Fetch a URL or convert a local file (PDF/DOCX/HTML/etc.) into Markdown using `uvx markitdown`, optionally it can summarize
Search X and the web using Grok (xAI) API, then summarise results with top sources.
Compress long conversation histories, large code files, research results, and documents by 70% without losing critical information. Triggers when context window fills up, when summarizing previous steps in multi-step tasks, before loading large files into context, or on "summarize", "compress", "reduce context", "save tokens".
BibiGPT CLI for summarizing videos, audio, and podcasts directly in the terminal. Use when the user wants to summarize a URL (YouTube, Bilibili, podcast, etc.) or check their BibiGPT authentication status. Requires the BibiGPT desktop app installed with an active login session, or a BIBI_API_TOKEN environment variable set.
Use this when the user wants to review Hacker News top 30 stories, select software or AI related items, and automatically publish a short Chinese summary to x.com or Twitter from an already logged-in browser session.
Use when content must be translated between audiences with different expertise, context, or goals while preserving accuracy but adapting presentation. Invoke when technical content needs business framing (engineering decisions → executive summary), strategic vision needs tactical translation (board presentation → team OKRs), expert knowledge needs simplification (academic paper → blog post, medical diagnosis → patient explanation), formal content needs casual tone (annual report → social media post), long-form needs summarization (50-page doc → 1-page brief), internal content needs external framing (roadmap → public updates, bug tracking → known issues), cross-cultural adaptation (US idioms → international clarity, Gen Z → Boomer messaging), medium shifts (written report → presentation script, detailed spec → action checklist), or when user mentions "explain to", "reframe for", "translate this for [audience]", "make this more [accessible/formal/technical]", "adapt for [executives/engineers/customers]", "simplify without losing accuracy", or "same content, different audience". Apply to technical communication (code → business value), organizational translation (strategy → execution), education (expert → novice), customer communication (internal → external), cross-cultural messaging, and anywhere same core message needs different presentation for different stakeholders while maintaining correctness.
Process YouTube videos into summarized Obsidian notes. Use when given a YouTube URL to summarize, extract insights, or turn videos into notes. Triggers on "summarize this video", "process this YouTube", "what's this video about", or any YouTube URL shared for processing.
Convert content between formats, summarize at different levels, and repurpose for various platforms. Use when asked to convert to markdown, create summaries of varying lengths, make tweets, create flashcards, or process video content. Triggers include "convert to markdown", "summarize in one sentence", "make this a tweet", "create flashcards", "TL;DR", "summarize this video", "export as CSV".